Dataset curation jobs

...well-structured CSV file. • Core fields I need are the establishment’s name and full address area/ city. I’m also interested in current pricing and availability. Images, facilities, and types of rooms and info pinned on the google map if those can be captured without breaching site policies. We can finalise the exact list together before you start. • Implement basic deduplication so the final dataset contains only one entry per property. • Code must be clean, commented, and ready to rerun whenever I need fresh numbers. Expectations • Respect each website’s and terms of service; throttle requests to avoid bans. • Provide progress updates and a small sample CSV early on so I can verify format and data quality. • Deliver t...

...it. We are looking for someone who has experience in setting up google ads for UK businesses. Once we’re approved, you’ll structure service categories, write concise ad copy, and set bidding rules that favour qualified calls over volume. Clear call and message tracking must be in place so every lead is attributed back to the ad platform. I expect proactive keyword refinement, negative keyword curation, and weekly tuning of bid adjustments to keep cost-per-lead trending down. Deliverables: • Verification support until the profile is live • Complete LSA campaign setup (ad copy, service areas, scheduling, bidding) • Call & form-lead tracking connected to Google Ads and Google Analytics • Two weeks of performance optimisation with a short ...

...research. Key outcomes I expect: • A concise, academically sound research question plus related hypotheses. • A critical literature review highlighting seminal and most recent works on luxury consumption and brand value perception. • A survey instrument ready for pilot testing, complete with measurement scales validated in prior studies. • A step-by-step plan for analysing the eventual dataset (SPSS, Stata, or R—whichever you prefer) so I can move straight from data collection to interpretation. If you have experience publishing or supervising empirical studies in luxury marketing, your input on theoretical framing and data interpretation will be especially valuable. I’m working to a tight academic calendar, so clarity, prompt feedbac...

...Stock Price Volatility and Investment Banking Decision Making in India.” I will forward the official college guidelines and a previous project sample; your work must follow that structure exactly. Data expectations All quantitative analysis must rely on publicly available financial databases such as NSE/BSE historical series, RBI bulletins, SEBI reports, or similar open sources. Cite every dataset precisely so the work can be replicated. Once you confirm interest, please share your fee and an estimated timeline so I can align it with my submission deadline....

...from the current template. Asset Requirements: - Characters - Brand Icons Ideal Skills and Experience: - Proficiency in creating .png assets - Experience with Canva - Strong design skills, especially in colorful and minimalistic styles - Attention to detail and ability to follow existing templates I need a freelance designer to generate between 250 and 400 image variations using a structured dataset (text/images) that I will provide. Key Responsibilities: import provided content into the master Canva template. Utilize Canva’s "Bulk Create" tool or data merge features for efficiency. Manually review every generated image to fix text wrapping, layout alignment, and visual spacing. Deliver the final editable Canva link and exported files (PNG/JPEG). Requirements:...

I have a collection of plain-text information that needs to be transcribed quickly and without errors. Your task is to key in this text exactl...capitalization, and any special characters. Speed is useful, but accuracy is essential; I will be running spot checks against the originals. The source files are ready to share once we start. I am flexible on the final output medium—Excel, Word, or an online database—so let me know which environment you are most comfortable using and I can prepare the templates. Deliverable: • A clean, fully entered text dataset returned in the agreed-upon format, free of typos and layout issues. If you have previous experience handling large volumes of text and can demonstrate a solid error-checking process, I’d like to hear how y...

...exact URLs, field map, and volume targets once we agree on terms, but plan for well over a million records. Key expectations • Build a repeatable, well-documented script or small tool (Python preferred, but Node.js is fine) that I can rerun without code changes. • Capture standard company fields—name, full address, phone, email when available, website, and business category—and return the dataset as CSV or XLSX. • Implement thorough deduplication and basic data cleaning so the final file is ready for direct import into a CRM. • Respect where legally required while still achieving full coverage through smart throttling and proxy rotation. Deliverables 1. Working scraper source code with clear setup instructions. 2. One complete data...

I will send you a set of digital Word and PDF files containing mixed text and numerical information. Your task is to design a clear, logically structured template in Ex...column headings, basic data-validation where helpful, and any simple formulas that keep totals or percentages accurate. • Transfer all content from the supplied documents into the sheet, preserving spelling, numbers, and units exactly as written. • Return the finished file by the agreed deadline, double-checked for typos, missing rows, or misplaced values. I measure success by a spotless dataset that matches the originals, so an eye for detail and quiet concentration are essential. If you are comfortable building neat spreadsheets from scratch and can keep errors to zero, I’m ready to share the...

...audiences • Engagement audiences • Lookalike Audiences once sufficient data exists • Retargeting • Appropriate exclusions You should be able to explain why you have chosen the targeting structure you recommend. WHAT WE NEED YOU TO DO 1. Review our existing Meta Business Portfolio and Ad Account. 2. Check that the correct Facebook Page and Instagram account are connected. 3. Check our Meta Pixel/Dataset setup and configure it correctly if required. 4. Check that website events are firing and being received correctly by Meta. 5. Configure conversion tracking for the two important transactions: • £5 Assessment purchase/completion • £59.99 Accredited membership purchase 6. Ensure Meta can distinguish between the two conversion...

...Node/Express or FastAPI for the backend, PostgreSQL for structured scheme data, and OpenAI or Cohere for natural-language search. If you know better tools that achieve the same snappy response, propose them. Acceptance criteria 1. Users can pick a language from the dropdown and see every static label translated. 2. A single search returns relevant schemes in under two seconds for a 10k-record dataset. 3. Each scheme card shows title, summary, benefit amount/type, eligibility snippet, and “Apply” link. 4. Mobile-first design passes Lighthouse scores of 90+ for performance and accessibility. 5. Clear README with setup commands and API documentation. Hand-off deliverables • Source code in a private Git repo • Seed database or CSV with at least 5...

I have a private collection of images that I want to sort automatically, and I need your expertise to build and fine-tune an image-classification pipeline. The dataset is purely visual—no accompanying text or numerical metadata—so the focus is on extracting meaningful visual features and assigning each image to the correct category. My end goal is straightforward: a reliable model that can classify every new photo I add, with clear metrics that show its accuracy. I haven’t fixed the exact number of categories yet; we can review the sample set together and decide what makes sense. You are free to work in Python with libraries such as TensorFlow, Keras or PyTorch, and any supportive tools for preprocessing, augmentation, and evaluation. I’ll share the image...

...company inventory • Capture required fields: * Email address (highest priority) * Company name * Street address * Postal code * City • If available: Telephone, Fax, Website, Industry • Deliver structured Excel output For records without email but with website: • Crawl company website • Scan Impressum / Contact / Legal Notice pages • Extract and validate business email addresses • Enrich dataset accordingly This phase must be priced as a **fixed one-time cost per source**, covering full extraction, enrichment, formatting, and delivery. --- ### Phase 2 – Monthly Incremental Extraction After completing the full inventory for each source: • Build a system to detect and extract only newly added listings each month • Apply ...

I need several batches of text-only records transferred with absolute accuracy into a structured spreadsheet. The source materi...searchable digital files I will share directly. Everything must be keyed by hand—no copy-paste scripts or OCR—to maintain formatting consistency and spot the occasional typo before it reaches the final sheet. You’ll receive clear instructions on the column layout plus a small sample to set expectations. I’ll review each batch as it comes in; any discrepancies should be corrected immediately so the dataset remains clean from start to finish. A simple progress log noting pages completed and any questions will keep us synced. If you’re comfortable with meticulous manual entry, quick at typing, and willing to double-check your ...

...much revenue is at stake. You will start with raw exports that contain service IDs, transaction dates, listed fees, realised revenue and a few messy quirks—missing cells, outliers and, most of all, inconsistent fee records. Using Python (Pandas, NumPy) together with SQL for joins and aggregations, clean the data, quantify every charge, and spotlight the inconsistencies. Deliverables • Tidy dataset with documented cleaning steps • Jupyter notebook (reproducible, well-commented) plus separate .sql files for any queries • Statistical profile for each service: average fee, variance, revenue share and count of suspect transactions • Flag on every row that breaks the expected fee range, plus a ranked list of the worst offenders • Clear visual...

...problems Why each recommendation is being made I will explain the product, current funnel, landing page, existing campaign and business objectives in more detail once we connect. PHASE 1 — Complete Existing Setup Audit Before making any changes, carefully review the existing Meta Ads setup, including: Campaign objective and structure Ad Set configuration Conversion location Performance goal Pixel/Dataset configuration Conversion events InitiateCheckout tracking Purchase tracking Website/landing-page tracking Meta Pixel and, where applicable, Conversions API Attribution settings Audience configuration Age and gender targeting Advantage+ Audience Detailed targeting/interests Location targeting Placements Budget and bidding strategy Existing ad creative Video ad structure ...

We are looking for detail-oriented freelancers to collect high-quality engineering drawings PDFs. The collected drawings will be used for AI/engineering document analysis projects. We are specifically looking for engineering-style drawings and not photographs, marketing graphics, or simple illustrations. Required Domains 2. Semiconductor Engineering 3. Process Engineering (Oil & Gas, Chemical, Energy) 4. Robotics & Automation 5. Aerospace Engineering Not Accepted 2. Marketing Images 3. Infographics 4. PowerPoint Graphics 5. AI Generated Images 6. Simple Flowcharts 7. Low Resolution Images Responsibilities 1. Extract engineering drawing pages 2. Categorize drawings by domain 3. Ensure drawings meet quality standards 4. Submit images in organized folders 5. Deliverables For e...

I need a reliable partner to help me gather two specific data sets—resident details and maintenance records—from multiple housing societies across Pune. My plan is to run structured surveys and I want every question presented through an online form, so experience with tools such as... Deliverables • A shareable online survey link that mirrors the approved questionnaire • A status log showing which societies have responded and which still need follow-up • A consolidated Excel or Google Sheets file containing all collected resident details and maintenance records, with duplicates removed and fields properly validated I will review and accept the work once the dataset covers at least 90 % of the targeted societies and passes a random spot-check...

...analytical engine. FEEDBACK LOOP The system should record what happened after every decision. For each signal, record: What the engine saw What features were present What decision it made Confidence Expected edge Entry Actual execution Exit Result P&L Market resolution Slippage Whether the prediction was correct Whether the signal should have been acted upon This creates a continuously growing dataset that can be used to determine which signals actually have predictive value. TESTING Before allowing the engine to trade meaningful capital, I want: Phase 1 Connect Polymarket data to Quant Bridge. Phase 2 Validate the data normalization and feature pipeline. Phase 3 Run the Quant Bridge in analysis-only mode. Phase 4 Generate hypothetical decisions without executing them. Phase ...

I’m looking for a research-minded AI team that can turn my existing dataset of artist profiles and historical matches into a robust system that automatically pairs creatives with fresh opportunities posted online. The core of the work is experimental: I want to see how far large-language-model families such as Claude, Gemini and Grok can be pushed for nuanced profile-to-opportunity matching. That means going beyond simple keyword overlap and exploring richer text analysis, conversational reasoning and any clever prompt-engineering or fine-tuning tricks you can bring to the table. You’ll start with several thousand annotated examples I already have. From there, I’d like you to design an approach, build a proof-of-concept pipeline, and iterate until we can clea...

I’m putting together a showcase-worthy sales workbook for my Data Entry & Excel portfolio and need an expert touch. The dataset is retail-focused and will be a mix of records I supply and additional, realistic entries you create to round it out. Everything must live in a single Excel file and look clean, consistent, and professional. Here’s what I’m after: • A well-structured table that holds customer and product details, quantities, unit prices, order dates, payment status, and a calculated line total. • Thorough data cleaning and formatting so every field is validated, dates align to one format, and currency values carry two decimals. • Built-in formulas (SUMIFS, COUNTIFS, IF, XLOOKUP or similar) for automatic totals. • Sorting and...

...comprehensive report that merges data from CARFAX, AutoCheck, and the National Motor Vehicle Title Information System (NMVTIS). Mandatory coverage • Vehicle history • Ownership details • Accident reports Beyond those, I’m interested in any additional data points you can lawfully provide—title brands, open recalls, odometer readings, auction images, service records, and more. The richer the dataset, the better. Trial phase I will supply two to three sample VINs first. Send back complete reports so I can verify depth, accuracy, and formatting before we move forward. Ongoing workflow & deliverables • Daily turn-around on new VINs I provide • CSV plus PDF output, each stamped with source and time of retrieval • Data gathered...

I’m looking for thorough competitor analysis within the healthcare space to gu...similar resources—whatever yields verifiable facts. Please structure findings in a concise slide deck or report accompanied by an Excel/Sheets file of the underlying data so I can slice and filter as needed. Cite every source, timestamp the data, and highlight anything that looks like a fast-moving trend. Deliverables • Structured report or slide deck summarising each competitor’s position • Raw dataset with source links and collection dates • One-page executive summary of actionable insights Accuracy, clarity, and up-to-date information matter more to me than volume. If you’ve handled healthcare market or competitor research before and can turn it around ...

I have to pull together a clean, reliable contact list for every company currently listed on the IDX (), Bursa Malaysia (), and SET Thailand (). There are roughly 1,000 companies on each exchange—about 3,000 in total—so accuracy and a consistent st...Email(s) Because some firms publish more than one email address, place each email in its own cell to the right of the first one, rather than grouping them with commas. The final file has to be delivered as a single Excel (.xlsx) workbook so I can filter and run quick look-ups. Feel free to use web-scraping, manual research, or a hybrid approach—whatever will give me a complete, deduplicated dataset with live, working URLs and valid email addresses (no generic “noreply@” or obvious bounces).

Textile Pattern Library Audit & Quality Curation — Ka Imi Ola (Apparel) ABOUT THE BRAND Ka Imi Ola is a modern Hawaiian aloha shirt brand. Our design direction is focused on bold, graphic textile patterns featuring authentic native Hawaiian plants, rich earth-driven color palettes, and hand-cut silk-screen/linocut aesthetics (in the tradition of Hawaiian printmaking). THE PROBLEM & TASK We have a master library of ~2,400 image files across 17 folders. This library contains a mix of raw textile patterns, artwork references, design variations, and product photos. Many are duplicates. Some are exceptional pattern references. Most are unusable for production. We tried using automated AI scripts and computer vision to sort this library. They failed to capture the nuanc...

I have a dataset that needs a focused trend analysis and I’d like your help with the data cincse side of things. What matters most to me is uncovering clear patterns, explaining what drives them, and presenting the results in a way that makes next-step decisions obvious. Here’s what I have in mind: • Work through the raw data, clean it where necessary, and structure it for analysis. • Carry out the core trend analysis, highlighting any seasonality, upward or downward movements, and outliers that deserve attention. • Summarise the findings visually—charts, dashboards, or other intuitive visuals—so stakeholders can grasp the story at a glance. • Deliver a concise report (code notebook or slide deck) that walks through your methodology...

I need a fully-functioning lead-generation and sales operating system tailored to my granite and stone business and restricted to prospects located in Pune city. Core requirements The engine must scrape business directories—e-GEM, CPPP and Construction DATA—then run the results through a...statistics and download the latest file. Acceptance criteria • Minimum 95 % valid email and phone coverage on the final list. • All leads mapped to Pune; no out-of-city records. • Source code, documentation and hand-off session included. Python, Selenium, BeautifulSoup, Scrapy or similar tools are fine; feel free to recommend alternatives if they boost reliability. The sooner the first usable dataset is in my hands, the better—I’m ready to move ahe...

Role: Data Cleaning Specialist. Cleaned and structured 736 unorganized entries into a professional Excel dataset. Applied logic-based techniques to extract Name, Address, City, State, and Postal Code from mixed data. Handled multiple patterns including individual names, company names, numeric addresses, P.O. Box formats, and dot-delimited entries. Removed inconsistencies, standardized formatting, and organized data into a clean, filterabl

I have a sizeable collection of raw text that I’d like to run through Handshake AI so I can turn the scattered words into solid, data-backed insights. The core of the job is to configure Handshake AI for text data analysis, plug in my dataset, and return an easily digestible report of the findings. Here’s what I need from you: • Connect to or set up the Handshake AI workspace and verify that it can ingest my text files without format issues. • Build the processing pipeline that lets me drop in new documents at any time and instantly rerun the analysis. • Deliver a concise report that highlights the most significant patterns you uncover—frequency distributions, keyword clusters, or any other stand-out metrics Handshake AI surfaces—along wi...

Role: Data Cleaning Specialist. Cleaned and structured 736 unorganized entries into a professional Excel dataset. Applied logic-based techniques to extract Name, Address, City, State, and Postal Code from mixed data. Handled multiple patterns including individual names, company names, numeric addresses, P.O. Box formats, and dot-delimited entries. Removed inconsistencies, standardized formatting, and organized data into a clean, filterabl

...to the sector. - Evaluate how WTO rules, GATS commitments, and/or EU trade agreements influence the sector. - Assess how digitalisation and emerging technologies are likely to transform the sector over the next decade. Mandatory source requirements The paper MUST include: 1 - minimum 2 peer-reviewed journal articles, 2 - minimum 2 policy or regulatory documents, 3 - minimum 1 statistical dataset, 4 - minimum 1 industry or company source. Mandatory appendix MUST Include: 1- search strategy, 2- databases consulted, 3- AI-use declaration (incl. a detailed description of used prompts), 4- and a short reflection (300 words) explaining the most difficult analytical decision you made. *Course slides attached for reference ** references for the course material

I need a clean, well-structured dataset that captures every AI tool listed on two directories: • (about 10 000 tools) • (about 52 000 tools) For each tool, please collect: – Tool name exactly as displayed – Official website URL – Logo (image link) – price – price details Accuracy is critical: no missing entries, no duplicates, and pricing text must match what users see on the page. Feel free to choose the most convenient structured format (CSV, Excel, or JSON); just keep the columns consistent and clearly labeled. If it helps future updates, include the scraper script or notebook you use so I can rerun it later.

...a hands-on partner to turn a folder of labelled pictures into a production-ready image-classification model. This project sits squarely in machine learning: the main task is to build, train, and validate a solution that can correctly place each incoming image into its predefined category with solid, measurable accuracy. Here is how I see the work unfolding: • Prepare and clean the image dataset, applying sensible augmentation so the network generalises well. • Select or design a CNN architecture (transfer-learning with ResNet, EfficientNet, or a custom model—whichever you believe will perform best) and implement it in Python using TensorFlow or PyTorch. • Train, tune hyper-parameters, and track performance with clear metrics; I want the training not...

WhatsApp Group Setup & Contact Addition. Description Experience Level: Entry Am looking for a trustworthy freelancer to assist with contact list curation and bulk member additions across 2 to 3 designated WhatsApp groups. • Review and curate provided contact lists to ensure accuracy before processing. • Add contacts into 2–3 designated WhatsApp groups efficiently. • Maintain strict confidentiality regarding all provided contact data. 1. You will receive the contact list upon project assignment. 2. You will be temporarily assigned Admin rights in the WhatsApp groups to execute the additions. 3. Once all members are added and confirmed, Admin access will be removed. • Strict Data Privacy: All provided contact details are strictly confidential and must no...

I have a dataset that needs to be explored in Excel to uncover clear, actionable marketing insights. Your task is to clean the data, build the right pivot tables or Power Query steps, and present trends, segments, and key performance indicators in easy-to-read charts and summaries. What I expect • A tidy, well-documented workbook with formulas or macros that I can reuse. • Dashboards or pivot charts highlighting customer segments, campaign performance, and any anomalies worth noting. • A short written summary (one page is fine) explaining the findings and suggested next steps. To help me choose quickly, please attach examples of previous work where you performed similar Excel-based marketing analysis. Screenshots or a brief description of the outcome are enough;...

This project is for Chennai location and I need Chennai based peopl...launch. I will supply the questionnaire and an introduction email; you bring the outreach skills, follow-up discipline, and a tidy spreadsheet or dashboard of results. Key deliverables • Complete survey responses from an agreed number of qualifying fitness-industry small businesses • Weekly progress report highlighting contacted leads, response rate, and any blockers • Final compiled dataset plus a brief insights summary so the leadership team can spot trends quickly If you have experience conducting B2B surveys, especially within the fitness or wellness niche, let’s discuss the volume you can realistically cover in the two-month window and the tools you prefer for contact manag...

...listing if shown) Please deliver everything in a single, well-structured CSV file so I can load it straight into my CRM. Accuracy matters more than sheer volume; duplicate removal, consistent formatting, and clear separation of each field are essential acceptance criteria. Feel free to use Python, Scrapy, Selenium, Google Maps API, or any combination of tools you trust—as long as the final dataset is complete, deduplicated, and ready for immediate use....

... and immediately view the results in an interactive dashboard. Here is what matters to me: • A clean, employee-friendly data-entry screen with validation for each of the 14 columns (I’ll supply the exact field names and rules once we start). • A query function—simple text or drop-down filters are fine—that can pull records instantly. • An interactive dashboard generated from the same dataset so staff can spot trends without exporting to Excel. You’re free to organise the underlying database as you see fit so long as every column remains searchable and the whole solution stays inside Emergent. When you hand it over I’ll need the working project file, any custom scripts or triggers you used, and a short read-me so my team can...

I have a sales dataset in Google Sheets that I’d like turned into clear, insightful pivot tables. Your job is to set up each pivot so I can quickly slice totals, averages, and counts by product, region, and date without touching the raw sheet. Please build the pivots directly in my shared Google Sheet, label each tab logically, and add a short note beside every table explaining the filters and row/column logic you used. Once done, I should be able to refresh the data or add new rows and have the pivots update with a single click. If you’ve created dynamic pivot views in Google Sheets before and are comfortable working with sales-oriented metrics, this should be a quick engagement.

I’m building a computer-vision layer that can reliably recognise images and return structured results that the rest of my platform can consume. The core of the project is an AI-driven image-recognition model; I need someone who can take it from dataset preparation all the way to a callable endpoint. Here’s what success looks like for me: • A well-architected model (TensorFlow, PyTorch or comparable) trained on the dataset I’ll supply—or augmented with open-source sets you recommend—to reach an agreed accuracy threshold. • Clean, readable Python code with clear comments and a short README so future team members can retrain or fine-tune the model. • A lightweight API or Dockerised service that I can spin up on AWS/GCP and hit wi...

...UTF-8 .txt or docx. Acceptance criteria 1. Minimum 5000 unique levels (Mandatory). 2. File loads into Android Studio project without encoding issues. 3. Random spot checks reveal zero disallowed words or duplicates. If you have your own scraping scripts or linguistic corpora, great—just be sure the content is royalty-free. Let me know your timeline and any questions; I’m ready to get this dataset wrapped up quickly....

I need a data-savvy partner who can take my raw dataset and run a thorough descriptive analysis, then translate the numbers into clear stories about the trends and patterns hiding inside. I’m interested in measures such as frequencies, central tendency, dispersion, and time-based or categorical comparisons that highlight shifts over periods, segments, or any other meaningful dimension you discover. Here is what I’d like to see when the work is finished: • A cleaned, well-documented dataset (CSV or XLSX) • A concise report (PDF or Google Doc) that walks me through your methodology, key findings, and visual evidence—think charts, heat maps, or dashboards created in Python (pandas, matplotlib, seaborn), R (tidyverse), Excel, or Tableau, whichever y...

I need a Progressive Web App that turns existing door-to-door survey data into clear, professional reports my clients can open on any device. The app’s sole job is reporting—data collection is handled elsewhere—so the workflow should begin with a simple import or API pull of the completed s...feel free to lean on your strengths—just make sure the final build installs as a PWA, works seamlessly on mobile and desktop, and can be deployed to a standard web host. Deliverables • Source code and build instructions • Responsive, installable PWA bundle • Two report templates: Summary & Detailed • Brief README explaining how to connect our survey data endpoint I’ll provide a sample dataset and API key once we start. I’m look...

...research objectives, selecting or developing suitable AI models for power-system data, running the necessary simulations, and finally shaping the results into a clear, publication-ready document that meets university guidelines. Preferred tools are Matlab/Simulink or Python with libraries such as TensorFlow, PyTorch and Pandas, though I am open to alternatives if they better suit the chosen model or dataset. Deliverables • A detailed methodology outlining the AI techniques applied to the power-system problem • Simulation code and test data with clear commenting so I can reproduce the results on my end • Interim result summaries for each major milestone so feedback can be incorporated early • A polished thesis document, formatted to my department&rsqu...

...online data collection. Familiarity with APIs, search tools, web scraping, or other data collection methods. Strong quantitative and statistical background. Deliverables The initial project should include: Total number of publicly available references identified. A description of the data collection methodology. The sources searched. The search terms used. The time period covered. A cleaned dataset. Supporting spreadsheets or databases. Any scripts or software used so the work can be reproduced. A second phase may involve categorizing and analyzing the quantified data. Please Include Your educational background. Relevant experience. Examples of similar projects. The tools and methodology you would use to collect and quantify publicly available online references. The initial ...

...the better fit. Scope of work • Analyse my current customer information flow and recommend the most suitable database architecture. • Design the schema to hold core customer data—at minimum names, phone numbers, and email addresses—plus space for additional fields such as purchase history or demographic insights that we may add later. • Build the database, populate it with a small sample dataset, and document the structure. • Provide clear instructions (or simple scripts) so my team can run basic CRUD operations and export records to CSV when needed. Acceptance criteria • A functioning database on the agreed platform, accessible from a desktop client or web UI. • Well-commented schema/scripts delivered in an editable format. ...

...Processing logs User Interface  Live view  ROI selection  Exposure settings  Capture  OCR results  Save settings Software Requirements  C++  OpenCV  Ubuntu Linux  NVIDIA Jetson  TensorRT (preferred)  ONNX Runtime (optional)  Tesseract/PaddleOCR Deliverables  Complete source code  Build instructions  Installation guide  User manual  Documented code  Camera configuration  Test dataset  Sample results  Deployment support Acceptance Criteria  Runs on Jetson Orin Nano  Reliable OCR under controlled lighting  Near real-time processing  Modular architecture Future Opportunities Successful completion may lead to follow-on projects in barcode reading, AI inspection, robot guidance, PLC communication and multi-camera vision. Proposal Requirements  Relevant exper...

I have a dataset that needs to be transformed into a clear, accurate topographic map focused on hydrography—rivers and lakes are the central layers I want highlighted. Using ArcGIS Pro (or ArcMap if you prefer), I need you to: • Run the geospatial analysis necessary to extract and clean the hydrographic features from my source files. • Generate elevation shading and contours so the terrain context is obvious without cluttering the water data. • Style the final map so river networks, lake boundaries, and relevant labels stand out at both small‐ and large-scale zoom levels. The finished deliverables should include: 1. A fully layered ArcGIS project file (.aprx or .mxd) with symbology intact. 2. A high-resolution PDF and a web-optimised image (PNG or JP...

I have a time-stamped dataset that needs to come to life through clear, insightful line-chart visualizations. Your task is to take the raw data, tidy it where necessary, and build one or more line charts that make long-term trends, seasonality, and sudden shifts immediately obvious. Interactive output is preferred so I can hover, zoom, and filter, but I am open to a polished static alternative if that suits your tooling better. You may work in Python (pandas, matplotlib, seaborn, plotly), R (ggplot2, shiny), or a dashboard environment such as Tableau or Power BI—choose the stack you are most productive with. While my focus is on line charts, I’m happy to consider complementary visuals like heat maps or scatter plots if you believe they strengthen the story the data tell...

The project centers on meticulous data entry coupled with light administrative support. Records may arrive as scanned paperwork, digital files, or the occasional hard copy, so you’ll need to move comfortably between formats while keeping accuracy above 99 %. Typical tasks include entering information into Excel or Googl...Criteria • ≥99 % data accuracy verified by spot checks • Turnaround within the timeframe we agree for each batch • Strict confidentiality of all information handled Fluency with Microsoft Excel, Google Workspace, and clear written English will ensure a smooth collaboration. When you reply, mention your past experience on similar projects and the typical time you need to process a 500-row dataset. Work can start as soon as we fina...

We are building an AI copilot for Shopify merchants and need clean, consistently anonymised eCommerce data exports from established Shopify stores. The initial task is strictly data preparation — no analysis, no implementation, just well-structured, documented source data we can use to train and validate our models. Requirements: - Proven experience exporting data from Google Search Console, Google Analytics 4, and Shopify - Ability to anonymise domains and commercially sensitive terms using stable, consistent replacement values across all files - Strong understanding of data consistency — page identities must match across GSC, GA4, and Shopify exports - Access to established Shopify stores with real organic traffic and at least 6 months of history - Familiarity with GSC non-d...